INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)
Abstract—The term ”stock market” often refers to a group of exchanges and locations where buyers and sellers come together to trade equity shares of publicly traded companies. The stock market is a part of a free-market economy since it gives all types of investors access to trading and capital exchange. Your entire investment might be lost in the stock market. Investors will sell a company’s shares if it performs poorly, which will cause the stock price to fall. You will not recover your initial investment when you sell. To address this, a range of Neural Network prediction techniques and algorithms were compared and examined. The pipeline works with the LSTM (Long Short- Term Memory) algorithm are more effective and aid in providing more prediction accuracy. This project’s objective is to forecast the stock price at various points in time, taking into account both the accuracy and efficiency of the market price.
Keywords:
Stock market price prediction , lstm
Cite Article:
"STOCK MARKET PRICE PREDICTION USING LSTM", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 4, page no.h173-h177, April-2023, Available :http://www.ijnrd.org/papers/IJNRD2304723.pdf
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ISSN:
2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
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